The 5 Biggest Risks of Uncontrolled AI
Data Leak via AI
Sensitive data is inadvertently transferred to cloud providers or third parties.
No Traceability
AI decisions are not traceable – a problem for audits and regulators.
Uncontrolled Access
Employees use AI tools outside the IT infrastructure, uncontrolled and insecure.
Legal Liability
Without a governance framework the company bears full liability for AI-driven misjudgements.
Vendor Lock-in
Dependency on a single cloud provider with no option for local data storage.
The Wito AI Security Framework
Audit Trails
Every action of every agent is logged – tamper-proof, manipulation-resistant and compliant.
Role-Based Access
Granular permissions: Who may use which agent and how? Fully configurable.
Local Data Storage
No data transfer to the cloud. All data remains on your infrastructure.
Guardrails & Policies
Rule-based restrictions automatically prevent unwanted behaviour.
GDPR Documentation
Automatic generation of data protection documentation for your supervisory authority.
Continuous Monitoring
Real-time monitoring of all agent activities with anomaly detection.
Security Questions
How do I prevent AI agents from accessing unauthorised data?
Through role-based access control (RBAC) and guardrails in NemoClaw. Each agent receives only the permissions it needs for its specific use case.
Can I trace what an AI agent has decided?
Yes. NemoClaw logs every reasoning step, every tool usage and every decision in full – in a format readable by non-technical staff as well.
What happens if an agent makes a mistake?
Guardrails stop critical actions automatically. All errors are logged and can be analysed. Wito AI implements human-in-the-loop mechanisms for critical processes.
Is local AI truly more secure than cloud AI?
For sensitive data: yes. With local AI your data never leaves your infrastructure. Cloud AI often offers more computing power but less data control.